Abstract: This article investigates the optimal distributed formation control for heterogeneous air–ground vehicle systems using a data-efficient, off-policy reinforcement learning algorithm.
Abstract: This article addresses the localizability of local-bearing-based multiagent systems without common orientation, which are more general but also more challenging than global-bearing-based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results